Tier 2 Team Leader managing complex employee lifecycle processes at HARMAN. Leading a team of specialists for high - quality HR service delivery across the region.
About the role
- Data Engineer working with People Analytics to structure and evolve data ecosystems in a fashion company. Ensuring reliable and scalable data for strategic decision-making.
Responsibilities
- Develop, maintain, and optimize robust data pipelines to support analyses, products, and predictive People Analytics models at scale;
- Integrate data from multiple HR & People systems (ATS, payroll, LMS, performance reviews, engagement surveys, etc.), ensuring quality, consistency, and governance;
- Build, structure, and evolve data models (Data Lake/Data Warehouse) focused on the employee journey and executive needs;
- Perform data ingestion, transformation, and modeling using cloud services (AWS, GCP, or Azure), focusing on efficiency and scalability;
- Implement and maintain best practices for versioning, documentation, security, and data quality;
- Conduct data quality assessments, proposing and implementing structural and process improvements;
- Collaborate with BI Analysts and HR/People teams to translate analytical needs into scalable engineering solutions;
- Automate routines and workflows to ensure reliability, stability, and continuous updates of data sources;
- Monitor and improve ETL/ELT processes, ensuring performance and reducing rework;
- Support strategic initiatives — such as AI models — by providing structured, accessible, and reliable data.
Requirements
- Bachelor's degree: Engineering, Information Systems, Computer Science, Systems Analysis, Statistics, or related fields;
- Experience programming in data-oriented languages (e.g., Python, R, Scala, etc.);
- Experience with software engineering best practices (e.g., documentation, version control, automated testing, clean code, etc.);
- Experience with data architecture and modeling in Data Lakes, preferably on GCP;
- Experience implementing, maintaining, and orchestrating data pipelines (Airflow);
- Knowledge of relational databases, such as MySQL, SQL Server, PostgreSQL, etc.;
- Knowledge of ETL processes and tools;
- A continuous learning mindset and willingness to develop new techniques and tool skills;
- Ability to solve complex problems using logical reasoning;
- Strong communication skills and ability to work in a team;
- Eagerness to learn and acquire new skills on a day-to-day basis.
- Differentials:
- Experience with BigQuery or Kubernetes
Benefits
- Health allowance
- Wellness program
- Professional development opportunities
- Hybrid work
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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